Alexander Neitz

Publications by Year

Research Areas

Reinforcement Learning in Robotics, Neural Networks and Applications, Model Reduction and Neural Networks, Time Series Analysis and Forecasting, Domain Adaptation and Few-Shot Learning

Most-Cited Works

• → A Simulation-Based Architecture for Smart Cyber-Physical Systems(2016)268 cited
• → Learning explanations that are hard to vary(2020)73 cited
• → OpenAI o1 System Card(2024)34 cited
• → CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning(2020)31 cited
• → Neural Symbolic Regression that Scales(2021)27 cited
• → Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning(2020)9 cited
• → Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models(2018)6 cited
• → Vision-Language Models as a Source of Rewards(2023)3 cited